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Databricks vs Jedox comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Jedox
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Business Performance Management (14th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.2%, up 9.0% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 3.5% mindshare, down 5.0% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks10.2%
Snowflake14.9%
Teradata8.8%
Other66.1%
Cloud Data Warehouse
Business Performance Management Mindshare Distribution
ProductMindshare (%)
Jedox3.5%
Anaplan6.8%
Adaptive Insights5.0%
Other84.7%
Business Performance Management
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Riyaz Halani - PeerSpot reviewer
Financial Controller at Zalando SE
Powerful BI tool for analyzing financial performance and stable performance
I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Databricks helps crunch petabytes of data in a very short period of time."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The ability to stream data and the windowing feature are valuable."
"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."
"I don't think you can find any other tool or any other service that is faster than Databricks."
"Easy to use and requires minimal coding and customizations."
"Databricks has helped us have a good presence in data."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."
"The data entry point is most valuable, and the way we can customize our report or do data entry is very good."
"The data entry point is most valuable. The way we can customize our report or do data entry is very good."
"The ease of reporting is one of Jedox's most valuable features."
"The customer porting is the most valuable feature."
"We use the tool for performance management and planning."
"The solution is quick with analysis and calculation. The tool offers high digitalization which helps us to run the controlling department with less number of people. If the software wasn't there, I would need two to three people extra to run the department."
"The Excel interface is designed to retrieve data from the database and send it back, which is a significant advantage."
 

Cons

"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"I have seen better user interfaces, so that is something that can be improved."
"Costs can quickly add up if you don't plan for it."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"Costs can quickly add up if you don't plan for it."
"It would be great if Databricks could integrate all the cloud platforms."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"Visualization is something they need to improve. There should be some dropdown facilities in it like Excel."
"Being an analytical solution, it should have more visualization options like graphs. When we are putting it, it should have more options. The UI can be made more modernized based on today's market. Sometimes, when we are doing heavy reports or dashboarding, there is a bit of a performance issue because it is pulling up a huge amount of data. That can be improvised by buffer memory and getting some buffer memory feature into it. It is a bit complex because it is a CPM solution. It helps you to get the information based on the different tools that we are using, which is a bit of a complex thing. It is not as easy as Microsoft Power BI. It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming. It took about eight months to do the complete implementation. We got some training from the partner and the Jedox team, which helped us later on in pulling things forward, but too much learning is required, and too many possibilities are there."
"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."
"Visualization is something they need to improve. We have already told them about this, and they should be working on it."
"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."
"Online pixel-perfect reporting is an aspect that has room for improvement."
"More emphasis is needed on the availability of the learning aspect of the solution. Because unless you take up their course that enables you to be an expert in creating the report, you must seek help."
"The tool has changed its pricing and it's now too expensive for small and medium organizations. I miss the open-source version which was free and we could do a lot of things with it."
 

Pricing and Cost Advice

"Databricks are not costly when compared with other solutions' prices."
"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
"I rate the price of Databricks as eight out of ten."
"The solution is affordable."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"Databricks is a very expensive solution. Pricing is an area that could definitely be improved. They could provide a lower end compute and probably reduce the price."
"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
"Jedox was a bit cheaper compared to Calumo."
"Excellent value for money."
"The product’s pricing will not be suitable for setting up a small solution."
"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
"The solution's pricing is specific to your requirements."
"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
5%
Comms Service Provider
12%
Computer Software Company
10%
Aerospace/Defense Firm
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise4
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
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Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Jedox EPM
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: March 2026.
892,487 professionals have used our research since 2012.